Advances in K means Clustering is popular PDF and ePub book, written by Junjie Wu in 2012-07-09, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Advances in K means Clustering can be Read Online from any device for your convenience.
Advances in K means Clustering Book PDF Summary
Nearly everyone knows K-means algorithm in the fields of data mining and business intelligence. But the ever-emerging data with extremely complicated characteristics bring new challenges to this "old" algorithm. This book addresses these challenges and makes novel contributions in establishing theoretical frameworks for K-means distances and K-means based consensus clustering, identifying the "dangerous" uniform effect and zero-value dilemma of K-means, adapting right measures for cluster validity, and integrating K-means with SVMs for rare class analysis. This book not only enriches the clustering and optimization theories, but also provides good guidance for the practical use of K-means, especially for important tasks such as network intrusion detection and credit fraud prediction. The thesis on which this book is based has won the "2010 National Excellent Doctoral Dissertation Award", the highest honor for not more than 100 PhD theses per year in China.
Detail Book of Advances in K means Clustering PDF
- Author : Junjie Wu
- Release : 09 July 2012
- Publisher : Springer Science & Business Media
- ISBN : 9783642298073
- Genre : Computers
- Total Page : 187 pages
- Language : English
- PDF File Size : 14,6 Mb
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